Staff Profile
Dr Shidong Wang
Lecturer in Data Engineering & AI
- Email: shidong.wang@ncl.ac.uk
- Address: School of Engineering
E2.18a
Merz Court
Newcastle University
Newcastle upon Tyne
NE1 7RU, UK
Qualifications
BSc (Hons) in Applied Computing, First Class; PhD in AI (2021), UEA, UK.
Experience
Sep. 2023 - present, Lecturer in Data Engineering & AI, School of Engineering, Newcastle University.
Jan. 2021 - Sep. 2023, Research Associate at NEOLab, School of Engineering, Newcastle University.
May 2019 - Dec. 2020, Research Assistant at Open Lab, School of Computing, Newcastle University.
Memberships
Member of IEEE; Member of the Tyndall Centre for Climate Change Research.
Research Interests
A member of the Intelligent Sensing and Communications (ISC) group, specialising in computer vision, artificial intelligence and deep learning. His research profile can be viewed on Google Scholar.
Research Funding
UKRI-GCRF and Newton Fund Consolidation Account (GNCA): Deep Lakes (CoI; £20,921; 10/22 - 03/23).
Guest Lecturer for CSC8637 Deep Learning, School of Computing, Newcastle University
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Articles
- Zhu Y, Wang S, Xin T, Zhang Z, Zhang H. Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement 2024, 73, 5016312.
- Jiang C, Ye Q, Wang S, Shen Y, Zhang Z, Zhang H. Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning. Pattern Recognition 2024, 152, 110451.
- Cheng Z, Wang S, Xin T, Zhou T, Zhang H, Shao L. Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. IEEE Transactions on Medical Imaging 2024, epub ahead of print.
- Wang S, Peppa MV, Xiao W, Maharjan SB, Joshi SP, Mills JP. A second-order attention network for glacial lake segmentation from remotely sensed imagery. ISPRS Journal of Photogrammetry and Remote Sensing 2022, 189, 289-301.
- Wang S, Ren Y, Parr G, Guan Y, Shao L. Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. IEEE Transactions on Geoscience and Remote Sensing 2021, 59(8), 6549-6561.
- Wang S, Guan Y, Shao L. Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. IEEE Transactions on Image Processing 2020, 29, 5396-5407.